Quality Assurance Engineer

6 days ago


Pune, Maharashtra, India Metroservisol Pvt. Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We're looking for a Quality Engineer who builds — not just someone who clicks

through test cases. You'll design automated validation frameworks, reproducible

pipelines, and ensure our AI outputs are reliable, secure, and compliant.

Role Overview

This is a mid-level role with the opportunity to grow into senior QE leadership.

You'll take ownership of end-to-end quality assurance, across both:


• SaaS features (UI, APIs, integrations)


• AI-driven workflows (LLM pipelines, RAG, ingestion)

You'll partner closely with developers, data scientists, and product to define

acceptance criteria, edge cases, and automation strategies that make our platform

resilient.

Responsibiliti

es
• Develop & maintain automated test suites (unit, integration, e2e) → Pytest

+Playwrig

ht
• Build AI-specific validation harnesse

s:o Schema validation (Pydantic, JSON Schem

a)o Factuality checks vs. datase

tso Guardrails (regex/rule-base

d)
• Ensure data quality validation (CSV, Excel, PDF ingestio

n)
• Implement error handling & logging tests (system-wide error flow

s)
• Partner with DevOps to embed tests into CI/CD (GitHub Action

s)
• Collaborate with SecOps on security regression chec

ks
• Document test plans, acceptance criteria, and defect reports in Jira/Confluen

ce
• Support performance/load testing (simulate CCU + data growt

h)
• Contribute actively in sprint planning, retros, release readiness revie

wsRequiremen

ts
• 4+ years QA / Test Automation experience in SaaS or data-heavy produc

ts
• Strong Python (Pytest, test harness developmen

t)
• Familiarity with LLM/AI pipelines (LangChain, embeddings, multi-agen

t)
• Experience testing APIs (REST/GraphQL) & frontends (React/Next.j

s)
• Knowledge of DevOps/CI/CD (Docker, GitHub Action

s)
• Strong grounding in test design (ISTQB-level understandin

g)
• Clear communicator: able to define acceptance criteria with Product/Desi

gnNice to Ha

ve
• Background in data validation or ML testi

ng
• Security testing (OWASP Top 10, auth flow

s)
• Experience in compliance-driven QA (ISO 27001, GDP

R)
• Load/performance testing tools (Locust, k

6)
• Experience with + React + TypeScript e2e testi

ngWhat We Off

er
• Work on cutting-edge AI SaaS with quality and trust at the co

re
• A collaborative team of engineers, AI researchers, and security expert

s


• Opportunity to define test automation strategy from day on

e



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